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Sustainable hub location under mixed uncertainty

Author

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  • Mohammadi, M.
  • Torabi, S.A.
  • Tavakkoli-Moghaddam, R.

Abstract

This paper addresses a novel sustainable hub location problem (SHLP) in which two new environmental-based cost functions accounting for air and noise pollution of vehicles are incorporated. To cope with uncertain data incorporated in the model, a mixed possibilistic–stochastic programming approach is proposed to construct the crisp counterpart. A simulated annealing (SA) and an imperialist competitive algorithm (ICA) with a new solution representation are developed to solve real-sized instances whose performances are compared with a proposed lower bound. Finally, some computational experiments are provided to demonstrate the effectiveness of the proposed model and solution approaches.

Suggested Citation

  • Mohammadi, M. & Torabi, S.A. & Tavakkoli-Moghaddam, R., 2014. "Sustainable hub location under mixed uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 89-115.
    • Handle: RePEc:eee:transe:v:62:y:2014:i:c:p:89-115
    DOI: 10.1016/j.tre.2013.12.005
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